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Competitor Monitor
作者
beyondbright
· GitHub ↗
· v1.0.0
· MIT-0
68
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install walter-competitor-monitor
功能描述
提供亚马逊竞品基础情报、流量词和用户评价分析，自动生成竞品动态及差异化营销建议报告。
安全使用建议
Do not install or run this skill in a production environment yet. Specific actions to take before trusting it: 1) Ask the publisher for the missing dependency files (unified_data_layer_v2.py and sellersprite_mcp.py) or for details about the data layer implementation and endpoints; verify those files' source and review them for where network requests are sent and how credentials are used/stored. 2) Confirm what API keys are required (SellerSprite etc.), why they are needed, and how the skill expects to receive them (env vars, config files); do not provide sensitive credentials until you verify the destination and storage practices. 3) Note the included script is truncated / contains a syntax/runtime error ('actions.appen' and truncated file) — this indicates the package is incomplete and may crash or behave unpredictably. 4) If you proceed to test, run it in an isolated environment with no real secrets and monitor outbound network traffic to confirm endpoints. 5) Prefer a version that documents required credentials explicitly and includes or references the exact data-layer implementation (or replace with a reviewed implementation).
功能分析
Type: OpenClaw Skill
Name: walter-competitor-monitor
Version: 1.0.0
The skill bundle is a legitimate tool for Amazon competitor analysis, designed to extract and analyze product data (ASINs, keywords, and reviews) via the SellerSprite API. The Python script (scripts/competitor_monitor.py) follows a clear logic for parsing user input, fetching market intelligence through a unified data layer, and generating business recommendations without any signs of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
The SKILL.md and code claim the skill uses a data layer and SellerSprite API to fetch competitor intelligence — that is coherent with the stated purpose. However, the skill does not declare any required credentials or environment variables for SellerSprite or the data layer, nor does it include the referenced dependency files (unified_data_layer_v2.py, sellersprite_mcp.py). That mismatch (expects external API access but doesn't request or ship the API keys/config) is incoherent and prevents a clear security assessment.
Instruction Scope
The SKILL.md instructions and the visible code stay within the stated domain (parse targets, fetch intelligence, analyse keywords/VOC, recommend actions). They do not instruct reading arbitrary host files or unrelated environment variables. However, the Python implementation calls into an external data layer (data_layer.api.call) which will perform network calls and could transmit competitor queries and aggregated data to whatever endpoints that data layer is configured to use — those endpoints/credentials are not provided, so the exact data flows are unknown.
Install Mechanism
There is no install spec (instruction-only), which is low-risk in isolation. But the package includes a code file that imports local modules expected to live in a scripts path outside the package; those modules are not included, so runtime behavior depends on out-of-bundle code. No remote downloads were specified in the skill itself.
Credentials
The SKILL.md lists 'SellerSprite API access' and the code requires an AmazonDataLayerV2 client, which almost certainly requires API keys/credentials. Yet requires.env is empty and no primary credential is declared. The skill therefore requires external credentials but does not declare them — this is a proportionality and transparency problem and prevents verification of where secrets would be used/stored.
Persistence & Privilege
The skill does not request 'always: true' and does not appear to modify other skills or system-wide configuration. It does modify sys.path at runtime to import a module from a relative '../../..' scripts directory — this is not persistence, but it does broaden the code's import surface to include files outside the package, which can be a source of unexpected behavior.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install walter-competitor-monitor - 安装完成后，直接呼叫该 Skill 的名称或使用
/walter-competitor-monitor触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
walter-competitor-monitor v1.0.0
- First public release.
- Supports automatic competitor discovery, traffic keyword analysis, VOC extraction, and competitor tracking for Amazon products.
- Generates actionable intelligence reports, including sales estimates, keyword rankings, customer feedback analysis, and strategy recommendations.
- Accepts brand names or ASINs as input, with batch processing capability.
元数据
常见问题
Competitor Monitor 是什么？
提供亚马逊竞品基础情报、流量词和用户评价分析，自动生成竞品动态及差异化营销建议报告。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 68 次。
如何安装 Competitor Monitor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install walter-competitor-monitor」即可一键安装，无需额外配置。
Competitor Monitor 是免费的吗？
是的，Competitor Monitor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Competitor Monitor 支持哪些平台？
Competitor Monitor 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Competitor Monitor？
由 beyondbright（@beyondbright）开发并维护，当前版本 v1.0.0。
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